These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 37883884)

  • 41. Proteomic characteristics reveal the signatures and the risks of T1 colorectal cancer metastasis to lymph nodes.
    Zhuang A; Zhuang A; Chen Y; Qin Z; Zhu D; Ren L; Wei Y; Zhou P; Yue X; He F; Xu J; Ding C
    Elife; 2023 May; 12():. PubMed ID: 37158593
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Score for the Risk and Overall Survival of Lung Metastasis in Patients First Diagnosed With Soft Tissue Sarcoma: A Novel Nomogram-Based Risk Assessment System.
    Fan Z; Chi C; Tong Y; Huang Z; Song Y; You S
    Technol Cancer Res Treat; 2022; 21():15330338211066240. PubMed ID: 35006028
    [No Abstract]   [Full Text] [Related]  

  • 43. Nomogram Development and External Validation for Predicting the Risk of Lymph Node Metastasis in T1 Colorectal Cancer.
    Oh JR; Park B; Lee S; Han KS; Youk EG; Lee DH; Kim DS; Lee DS; Hong CW; Kim BC; Kim B; Kim MJ; Park SC; Sohn DK; Chang HJ; Oh JH
    Cancer Res Treat; 2019 Oct; 51(4):1275-1284. PubMed ID: 30653743
    [TBL] [Abstract][Full Text] [Related]  

  • 44. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
    Zhu M; Hu C; He Y; Qian Y; Tang S; Hu Q; Hao C
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul; 35(7):696-701. PubMed ID: 37545445
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Short-term prognosis for hepatocellular carcinoma patients with lung metastasis: A retrospective cohort study based on the SEER database.
    Chen S; Li X; Liang Y; Lu X; Huang Y; Zhu J; Li J
    Medicine (Baltimore); 2022 Nov; 101(45):e31399. PubMed ID: 36397445
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Novel "resect and analysis" approach for T2 colorectal cancer with use of artificial intelligence.
    Ichimasa K; Nakahara K; Kudo SE; Misawa M; Bretthauer M; Shimada S; Takehara Y; Mukai S; Kouyama Y; Miyachi H; Sawada N; Mori K; Ishida F; Mori Y
    Gastrointest Endosc; 2022 Oct; 96(4):665-672.e1. PubMed ID: 35500659
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Development and validation of a prognostic scoring system for patients with colorectal cancer hepato-pulmonary metastasis: a retrospective study.
    Deng S; Jiang Z; Cao Y; Gu J; Mao F; Xue Y; Qin L; Liu K; Wang J; Wu K; Cai K
    BMC Cancer; 2022 Jun; 22(1):643. PubMed ID: 35690752
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Nomogram for predicting occurrence and prognosis of liver metastasis in colorectal cancer: a population-based study.
    Tang M; Wang H; Cao Y; Zeng Z; Shan X; Wang L
    Int J Colorectal Dis; 2021 Feb; 36(2):271-282. PubMed ID: 32965529
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Development and international validation of logistic regression and machine-learning models for the prediction of 10-year molar loss.
    Troiano G; Nibali L; Petsos H; Eickholz P; Saleh MHA; Santamaria P; Jian J; Shi S; Meng H; Zhurakivska K; Wang HL; Ravidà A
    J Clin Periodontol; 2023 Mar; 50(3):348-357. PubMed ID: 36305042
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Artificial intelligence for predicting survival following deceased donor liver transplantation: Retrospective multi-center study.
    Yu YD; Lee KS; Man Kim J; Ryu JH; Lee JG; Lee KW; Kim BW; Kim DS;
    Int J Surg; 2022 Sep; 105():106838. PubMed ID: 36028137
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Development and validation of a diagnostic and prognostic model for lung metastasis of hepatocellular carcinoma: a study based on the SEER database.
    Shao G; Zhi Y; Fan Z; Qiu W; Lv G
    Front Med (Lausanne); 2023; 10():1171023. PubMed ID: 37538313
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Development and validation of prediction model for early warning of ovarian metastasis risk of endometrial carcinoma.
    Zhao Q; Li Y; Wang T
    Medicine (Baltimore); 2023 Oct; 102(41):e35439. PubMed ID: 37832099
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Exploring risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: construction of a novel population-based predictive model.
    Huang Y; Mao Y; Xu L; Wen J; Chen G
    BMC Endocr Disord; 2022 Nov; 22(1):269. PubMed ID: 36329470
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Development of prediction model of low anterior resection syndrome for colorectal cancer patients after surgery based on machine-learning technique.
    Huang MJ; Ye L; Yu KX; Liu J; Li K; Wang XD; Li JP
    Cancer Med; 2023 Jan; 12(2):1501-1519. PubMed ID: 35899858
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Plasma Methylated SEPT9 as a Novel Biomarker for Predicting Liver Metastasis in Colorectal Cancer.
    Yu M; Yang C; Wang S; Shi Y; Wang J; Meng C; Xue L; Chen Z
    Mol Biotechnol; 2024 Sep; 66(9):2254-2261. PubMed ID: 37608077
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Development and validation of artificial intelligence models for preoperative prediction of inferior mesenteric artery lymph nodes metastasis in left colon and rectal cancer.
    Wang X; Zheng Z; Xie Z; Yu Q; Lu X; Zhao Z; Huang S; Huang Y; Chi P
    Eur J Surg Oncol; 2022 Dec; 48(12):2475-2486. PubMed ID: 35864013
    [TBL] [Abstract][Full Text] [Related]  

  • 57. The Construction and Validation of a new Predictive Model for Overall Survival of Clear Cell Renal Cell Carcinoma Patients with Bone Metastasis Based on Machine Learning Algorithm.
    Le Y; Xu W; Guo W
    Technol Cancer Res Treat; 2023; 22():15330338231165131. PubMed ID: 37078130
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study.
    Qiu B; Shen Z; Yang D; Wang Q
    Front Oncol; 2023; 13():1183072. PubMed ID: 37293595
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Blood Biomarkers Panels for Screening of Colorectal Cancer and Adenoma on a Machine Learning-Assisted Detection Platform.
    Wang H; Zhou Z; Li H; Xiang W; Lan Y; Dou X; Zhang X
    Cancer Control; 2023; 30():10732748231222109. PubMed ID: 38146088
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Predictive models based on machine learning for bone metastasis in patients with diagnosed colorectal cancer.
    Li T; Huang H; Zhang S; Zhang Y; Jing H; Sun T; Zhang X; Lu L; Zhang M
    Front Public Health; 2022; 10():984750. PubMed ID: 36203663
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.